An old community environmental sensor data processing method and system based on ultraviolet light communication

Abstract

The present application provides a method and system for processing environmental sensor data in an old community based on ultraviolet communication. Among them, an environmental feature set of the outer facade of an old community building is collected through a distributed environmental sensor array, and an ultraviolet channel reflection skeleton is constructed in combination with obstacle coordinates; a dynamic spatio-temporal grid division engine fuses the time-effect factor attenuation model and the physical space topological structure to generate a multi-dimensional feature segment set carrying spatio-temporal attenuation weights; the channel interference is analyzed in real time based on the interference intensity probability matrix of the ultraviolet channel reflection skeleton to generate a multi-band transmission configuration result; the multi-path transmission time delay is calibrated through a phase compensation factor to construct an ultraviolet light pulse sequence carrying path feature coding, and when the difference degree between adjacent units exceeds the critical condition, a closed-loop feedback mechanism is triggered to update the link weight. The technical solution provided by the embodiments of the present application can improve the efficiency and accuracy of processing environmental sensor data in an old community.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of environmental sensor data processing in old residential areas, and in particular, to a method and system for processing environmental sensor data in old residential areas based on ultraviolet light communication. Background Art

[0002] With the acceleration of urbanization, environmental monitoring and management of old residential areas have become particularly important. Due to the complex building structures and compact layouts of old residential areas, traditional wireless communication methods are easily interfered with during data transmission, resulting in information loss or delay, and cannot meet the needs of real-time monitoring. Therefore, an efficient and reliable communication method is needed to achieve real-time monitoring and analysis of various environmental parameters (such as temperature, humidity, air quality, etc.) in the community. In addition, in order to ensure the stability of the system and the accuracy of the data, it is also necessary to consider how to effectively deal with the multipath effects caused by complex physical obstacles and dynamically changing environmental conditions.

[0003] At present, most old communities use traditional wireless communication technologies such as wireless LAN or ZigBee protocol to collect and transmit environmental data. Although these technologies can meet basic data transmission needs, they face many challenges in complex urban environments. For example, wireless LAN signals have weak penetration and are prone to signal attenuation in densely built areas; and although the ZigBee protocol has low power consumption and good anti-interference ability, its transmission distance is limited and it is difficult to cover the entire community. In addition, traditional ultraviolet communication systems use line-of-sight transmission or fixed scattering paths, divide carrier frequency bands through frequency division multiplexing technology, and rely on static interference suppression algorithms to reduce multi-user interference. For example, the U.S. military's covert ultraviolet communication system uses a fixed modulation wavelength and scattering angle combination to achieve short-distance non-line-of-sight transmission through basic phase compensation.

[0004] The existing solutions mainly have the following deficiencies: Traditional wireless communication technologies are vulnerable to interference in complex physical environments. Especially in old communities with high-rise buildings, signal attenuation and multipath effects seriously affect the quality and reliability of data transmission. The existing systems lack an intelligent adjustment mechanism for different environmental conditions and cannot optimize transmission parameters according to real-time situations, resulting in a significant decline in performance under certain specific conditions. For large-scale network deployments, current technical solutions often lack sufficient robustness and scalability, making it difficult to support the simultaneous operation of a large number of sensor nodes. Moreover, their self-repair ability is weak when encountering faults, affecting the overall system stability and maintenance cost. The existing cooperative communication technologies lack a spatio-temporal feature fusion mechanism and cannot achieve accurate mapping of multi-dimensional environmental data and physical topologies. These problems limit the practical application effects and development potential of the environmental monitoring system in old communities. Therefore, it is particularly necessary to develop a new method for processing environmental sensor data based on ultraviolet light communication to solve the above problems and improve the overall performance of the system. Summary of the Invention

[0005] An embodiment of the present application provides a method and system for processing environmental sensor data in old communities based on ultraviolet light communication to solve the problems of low efficiency and poor accuracy in processing environmental sensor data in the prior art.

[0006] In a first aspect, an embodiment of the present application provides a method for processing environmental sensor data in old communities based on ultraviolet light communication, including:

[0007] Collect an environmental feature set through a distributed environmental sensor array on the outer facade of old community buildings, construct an ultraviolet channel reflection skeleton based on the reflectivity and obstacle coordinates, and dynamically correct the reflectivity through ultraviolet band penetration tests;

[0008] Divide the environmental feature set into a multi-dimensional feature segment set according to the time effect factor and physical space correlation degree, and assign discrete identifiers to the multi-dimensional feature segment set and embed carrier frequency band indexes;

[0009] According to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, real-time analyze the channel interference estimation information, and combine the iterative optimization mechanism of the pulse duty cycle to dynamically adjust the combination of ultraviolet light modulation wavelength and scattering angle to generate a multi-band transmission configuration result;

[0010] According to the multi-band transmission configuration result, establish multiple reflection links between adjacent environmental sensor nodes, map the discrete identifiers to the reflection paths, calibrate the multi-path transmission delay through the phase compensation factor, and generate an ultraviolet light pulse sequence carrying path feature coding;

[0011] Parse the timestamps of the ultraviolet light pulse sequence, perform path inversion in combination with the phase compensation factor, extract the discrete identifiers and generate path encoding. When the difference degree between adjacent units exceeds the critical condition, trigger an alarm signal and feedback it to the ultraviolet channel reflection framework to update the link weight.

[0012] Optionally, parse the channel interference estimation information in real time according to the interference intensity probability matrix of the ultraviolet channel reflection framework, and in combination with the iterative optimization mechanism of the pulse duty cycle, dynamically adjust the combination of the ultraviolet light modulation wavelength and the scattering angle to generate a multi-band transmission configuration result, including:

[0013] Based on the obstacle coordinate distribution and dynamically corrected reflectivity of the ultraviolet channel reflection framework, establish a probability distribution model of the interference intensity through the spatial correlation of historical interference events, and generate a multi-channel interference pattern set;

[0014] According to the time-accumulated interference amounts of each sub-region in the multi-channel interference pattern set, construct an interference intensity probability matrix with spatio-temporal attenuation coefficients, and screen the dominant interference sources based on the pulse response synchronization of adjacent sensor nodes;

[0015] Combined with the azimuth angle of the dominant interference source and the convergence limit condition of the pulse duty cycle, establish a mapping relationship table between the pulse duty cycle adjustment gradient and the wavelength-angle combination, and perform successive approximation iteration on the pulse duty cycle of the ultraviolet light through a feedback interference suppression algorithm, and synchronously update the priority weights of the mapping relationship table;

[0016] Dynamically screen the combination of the ultraviolet light modulation wavelength and the scattering angle according to the priority weights, eliminate the combination options that conflict with the obstacle coordinates in the current channel reflection framework, and generate a multi-band transmission configuration result carrying a wavelength switching sequence and an angle offset compensation value.

[0017] Optionally, combined with the azimuth angle of the dominant interference source and the convergence limit condition of the pulse duty cycle, establish a mapping relationship table between the pulse duty cycle adjustment gradient and the wavelength-angle combination, and perform successive approximation iteration on the pulse duty cycle of the ultraviolet light through a feedback interference suppression algorithm, and synchronously update the priority weights of the mapping relationship table, including:

[0018] Based on the azimuth angle discretization interval division result of the dominant interference source, construct an azimuth angle-duty cycle gradient correlation matrix in combination with the convergence limit condition range of the pulse duty cycle, and generate a mapping relationship table of the initial wavelength-angle combination through the coupled analysis of the interference source azimuth angle and the wavelength sensitivity coefficient;

[0019] Extract a time-domain interference suppression window based on the pulse response synchronization characteristics of the dominant interference source, establish a duty cycle adjustment step constraint condition based on the attenuation gradient of the interference intensity probability matrix within the window, and generate a dynamic adjustment information set;

[0020] Use a feedback interference suppression algorithm to perform successive approximation iterations on the duty cycle adjustment step constraint condition, and update the weight distribution factor of the dynamic adjustment information set according to the deviation between the real-time interference suppression rate of the wavelength-angle combination and the target suppression limit condition during the iteration process;

[0021] Reorder the priority of the mapping relationship table based on the weight distribution factor, and generate the optimized mapping relationship table by combining the elimination results of the dynamic adjustment information set to obtain the updated priority weight.

[0022] Optionally, parse the timestamps of the ultraviolet light pulse sequence, perform path inversion in combination with the phase compensation factor, extract the discrete identifier and generate a path code. When the difference degree between adjacent units exceeds the critical condition, trigger an alarm signal and feedback it to the ultraviolet channel reflection framework to update the link weight, including:

[0023] Decompose the timestamps of the ultraviolet light pulse sequence using multi-scale wavelet transform, construct a multipath signal recombination model by combining the reverse path tracing algorithm and the phase compensation factor, and extract the hop weight and azimuth angle correlation features of the discrete identifier through a convolutional neural network to generate a path code matrix;

[0024] Analyze the vector of the difference degree between adjacent units of the path code matrix based on a dynamic sliding window mechanism. When the modulus value of the vector exceeds the dynamic threshold jointly determined by the sliding mean of the aging factor and the physical space entropy value, trigger an alarm signal instruction and feedback it to the ultraviolet channel reflection framework;

[0025] Fuse the link stability weight and path loss gradient distribution in the path code matrix, construct a path inversion confidence evaluation model, and correct the path loss gradient matrix of the ultraviolet channel reflection framework through an adaptive particle filter algorithm;

[0026] Use orthogonal frequency division multiplexing technology to embed the hop weight of the path code matrix into the pulse position modulation gap of the ultraviolet light carrier, generate an anti-interference weight by combining cyclic redundancy check code and path fingerprint features, and update the link weight through a physical space entropy value weighting mechanism.

[0027] Optionally, fuse the link stability weight and path loss gradient distribution in the path code matrix, construct a path inversion confidence evaluation model, and correct the path loss gradient matrix of the ultraviolet channel reflection framework through an adaptive particle filter algorithm, including:

[0028] The link stability weight in the path coding matrix and the path loss gradient distribution are spatially aligned using a multi-dimensional feature space fusion engine to construct a path inversion confidence evaluation model containing a dynamic weight factor, and the multi-dimensional feature space of the path inversion confidence evaluation model is reconstructed through a probability distribution fitting engine;

[0029] A dynamic noise suppression model is used to fuse the reconstruction result of the path inversion confidence evaluation model and the hop count weight of the path coding matrix to construct a path loss gradient correction model, and the non-steady interference components in the path loss gradient matrix of the ultraviolet channel reflection skeleton are eliminated through an abnormal fluctuation detection mechanism;

[0030] A non-linear superposition engine is introduced to couple the output features of the path inversion confidence evaluation model and the link stability weight to generate a path loss gradient matrix carrying a feedback compensation coefficient and feed it back to the ultraviolet channel reflection skeleton;

[0031] Based on an anti-interference coding protocol, path fingerprint features are embedded in the path loss gradient matrix, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected through an adaptive particle filtering algorithm.

[0032] Optionally, according to the multi-band transmission configuration result, a multiple reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to the reflection path, and the multi-path transmission delay is calibrated through a phase compensation factor to generate an ultraviolet light pulse sequence carrying path feature coding, including:

[0033] According to the multi-band transmission configuration result, an improved dynamic pheromone ant colony path optimization algorithm is used to fuse the path loss gradient and the link stability evaluation model, and candidate reflection links that meet the path loss threshold, hop count constraint, and link stability threshold are screened in the reflection path topology graph to generate a multiple reflection link set;

[0034] The discrete identifier is converted into a binary sequence through a deep convolutional encoder with an attention mechanism, the binary sequence is embedded in the pulse position modulation gap of the ultraviolet light carrier using orthogonal frequency division multiplexing technology, and a cyclic redundancy check code is introduced to enhance the anti-interference ability of the ultraviolet light carrier;

[0035] Based on the ultraviolet light carrier, the phase compensation factor is dynamically analyzed using the multiple reflection link set, and adaptive time slot segmentation algorithm is used for windowed compensation. Ultraviolet light pulses carrying path feature coding are superimposed according to the reflection level within the compensated time slot window to generate an ultraviolet light pulse sequence.

[0036] Optionally, the environmental feature set is divided into a multi-dimensional feature segment set according to the time effect factor and the physical space correlation degree, and discrete identifiers are assigned to the multi-dimensional feature segment set and the carrier frequency band index is embedded, including:

[0037] Use a dynamic spatio-temporal grid division engine to perform spatio-temporal correlation analysis on the set of environmental features, and combine the time-effect factor attenuation model with the topological structure of the physical space correlation degree to generate a spatio-temporal correlation matrix containing spatio-temporal attenuation weights;

[0038] Based on a multi-level clustering strategy, divide the spatio-temporal correlation matrix into feature segments, and generate the set of multi-dimensional feature segments with spatio-temporal constraints through the dynamic fusion of spatio-temporal attenuation weights and the threshold of the physical space correlation degree;

[0039] Construct a dynamic hash tree structure to allocate discrete identifiers to the set of multi-dimensional feature segments, use a frequency band feature matching module to perform feature coding coupling on the discrete identifiers and the output of the ultraviolet carrier frequency band generator, and introduce a frequency band dynamic allocation technology to embed the feature coding vector into the frequency band index sequence of the ultraviolet light carrier.

[0040] In a second aspect, an embodiment of the present application provides an old community environment sensor data processing system based on ultraviolet communication, including:

[0041] An acquisition module, which acquires a set of environmental features through a distributed environmental sensor array on the outer facade of an old community building, constructs an ultraviolet channel reflection skeleton based on the reflectivity and obstacle coordinates, and the reflectivity is dynamically corrected through ultraviolet band penetration tests;

[0042] An allocation module, which divides the set of environmental features into a set of multi-dimensional feature segments according to the time-effect factor and the physical space correlation degree, and allocates discrete identifiers to the set of multi-dimensional feature segments and embeds them into the carrier frequency band index;

[0043] An analysis module, which analyzes the channel interference estimation information in real time according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and combines the iterative optimization mechanism of the pulse duty cycle to dynamically adjust the combination of the ultraviolet light modulation wavelength and the scattering angle to generate a multi-band transmission configuration result;

[0044] A mapping module, according to the multi-band transmission configuration result, establishes a multiple reflection link between adjacent environmental sensor nodes, maps the discrete identifier to the reflection path, calibrates the multi-path transmission delay through the phase compensation factor, and generates an ultraviolet light pulse sequence carrying the path feature coding;

[0045] An update module, which analyzes the time stamp of the ultraviolet light pulse sequence, performs path inversion in combination with the phase compensation factor, extracts the discrete identifier and generates a path code, and when the difference degree between adjacent units exceeds the critical condition, triggers an alarm signal and feeds it back to the ultraviolet channel reflection skeleton to update the link weight.

[0046] In a third aspect, an embodiment of the present application provides a computing device, including a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a method for processing old community environmental sensor data based on ultraviolet light communication as described in the first aspect above.

[0047] In a fourth aspect, an embodiment of the present application provides a computer storage medium storing a computer program, which when executed by a computer, implements a method for processing old community environmental sensor data based on ultraviolet light communication as described in the first aspect.

[0048] In the embodiment of the present application, an environmental feature set is collected through a distributed environmental sensor array on the outer facade of old community buildings, and an ultraviolet channel reflection skeleton is constructed based on the reflectivity and obstacle coordinates, and the reflectivity is dynamically corrected through ultraviolet band penetration testing; the environmental feature set is divided into a multi-dimensional feature segment set according to the time effect factor and physical space correlation degree, and discrete identifiers are assigned to the multi-dimensional feature segment set and embedded with carrier frequency band indexes; according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, the channel interference estimation information is parsed in real time, and combined with the iterative optimization mechanism of the pulse duty cycle, the combination of ultraviolet light modulation wavelength and scattering angle is dynamically adjusted to generate a multi-band transmission configuration result; according to the multi-band transmission configuration result, a multiple reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to the reflection path, the multi-path transmission time delay is calibrated through a phase compensation factor, and an ultraviolet light pulse sequence carrying path feature coding is generated; the time stamp of the ultraviolet light pulse sequence is parsed, and path inversion is performed in combination with the phase compensation factor, the discrete identifier is extracted and a path code is generated, and when the difference degree between adjacent units exceeds a critical condition, an alarm signal is triggered and fed back to the ultraviolet channel reflection skeleton to update the link weight.

[0049] The technical solution of the present application has the following beneficial effects:

[0050] This application collects environmental data by deploying a distributed environmental sensor array on the exterior facade of old residential buildings and uses ultraviolet light communication technology for data transmission. This method not only overcomes the problem of susceptibility to interference of traditional wireless communication in complex environments but also dynamically adjusts the modulation wavelength and scattering angle by constructing an ultraviolet channel reflection skeleton based on reflectivity and obstacle coordinates to ensure the stability and reliability of data transmission. At the same time, by embedding discrete identifiers into the carrier frequency band index, the data streams of different characteristic segments are effectively distinguished, enhancing the data processing efficiency. Combining the multi-band transmission configuration results and the phase compensation factor calibration technology can significantly reduce the transmission error caused by the multipath effect and improve the accuracy of data transmission. In addition, by real-time parsing the channel interference estimation information and feeding it back to the system to update the link weights, the adaptive ability and anti-interference ability of the system are further improved.

[0051] Furthermore, effective solutions are proposed for the interference problems that may be encountered in ultraviolet light communication. By analyzing the spatial correlation of historical interference events, a probability distribution model of interference intensity is established, and based on this, a multi-channel interference pattern set is generated to ensure that the system can more accurately identify potential interference sources and their influence ranges. The interference intensity probability matrix constructed based on the spatio-temporal attenuation coefficient helps to screen out the dominant interference sources, providing a basis for subsequent optimization. The mapping relationship table between the pulse duty cycle adjustment gradient and the wavelength-angle combination and the application of the feedback interference suppression algorithm ensure the fine-tuning of ultraviolet light pulse parameters, greatly reducing the impact of interference on communication quality. The final generated multi-band transmission configuration results carrying the wavelength switching sequence and the angle offset compensation value ensure an efficient and stable communication connection even in the presence of obstacles, greatly improving the success rate and stability of data transmission.

[0052] Furthermore, through detailed analysis of the azimuth angle of interference sources and extraction of pulse response synchronization characteristics, precise locking and interference suppression of interference sources are achieved. First, by constructing an azimuth angle-duty cycle gradient correlation matrix and combining the analysis of the wavelength sensitivity coefficient of interference sources, the mapping relationship table of the wavelength-angle combination is initially determined, laying a foundation for subsequent optimization. Then, the attenuation gradient within the time-domain interference suppression window is used to set the constraint conditions for the duty cycle adjustment step size to ensure that each iteration moves in the direction of reducing interference. The application of the feedback interference suppression algorithm enables the entire process to be flexibly adjusted according to the actual interference situation and continuously approaches the optimal solution. Finally, by reordering the weight distribution factors of the dynamic adjustment information set, the optimized mapping relationship table is obtained, which not only improves the interference suppression efficiency but also enhances the robustness and flexibility of the system, enabling the ultraviolet light communication system to maintain high-quality data transmission services in complex and changeable environments.

[0053] These aspects or other aspects of this application will be more clearly understood in the description of the following embodiments. Brief Description of the Drawings

[0054] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0055] Figure 1 shows a flowchart of a method for processing environmental sensor data in old residential areas based on ultraviolet communication provided by the present application;

[0056] Figure 2 shows a schematic structural diagram of a system for processing environmental sensor data in old residential areas based on ultraviolet communication provided by the present application;

[0057] Figure 3 shows a schematic structural diagram of a computing device provided by the present application. Detailed Embodiments

[0058] In order to enable those skilled in the art to better understand the solutions of the present application, the following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application.

[0059] In some processes described in the specification, claims and the above drawings of the present application, a plurality of operations appear in a specific order. However, it should be clearly understood that these operations can be executed not in the order in which they appear in this article or in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations can be executed in sequence or in parallel. It should be noted that the descriptions such as "first" and "second" in this article are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, nor do they limit that "first" and "second" are of different types.

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application.

[0061] Figure 1 A flowchart of a method for processing environmental sensor data in old residential areas based on ultraviolet communication is provided for the embodiments of the present application, asFigure 1 As shown, the method includes:

[0062] 101. Collect an environmental feature set through a distributed environmental sensor array on the exterior facade of old residential buildings, construct an ultraviolet channel reflection skeleton based on reflectivity and obstacle coordinates, and dynamically correct the reflectivity through ultraviolet band penetration testing;

[0063] In this step, the distributed environmental sensor array is installed on the exterior facade of old residential buildings. Through the distributed environmental sensor array, various environmental feature data including temperature, humidity, and air quality can be collected. These data are crucial for monitoring and improving the living environment of the community. Based on the collected data, as well as the building surface reflectivity and obstacle coordinate information, an ultraviolet channel reflection skeleton model is constructed. This model dynamically corrects the reflectivity parameters through regular ultraviolet band penetration testing to adapt to the optimal transmission efficiency under different weather conditions.

[0064] In the application embodiment, in a renovation project of an old residential community, technicians first deployed multiple environmental sensor nodes on the exterior facade to monitor the environmental conditions in real time. Subsequently, technicians used specially designed equipment to test the reflection performance of ultraviolet rays on different surfaces and adjusted the reflectivity parameters according to the results. This step laid a solid foundation for subsequent data processing and communication, and at the same time improved the adaptability and stability of the entire system.

[0065] 102. Divide the environmental feature set into a multi-dimensional feature segment set according to the timeliness factor and physical space correlation degree, and assign discrete identifiers to the multi-dimensional feature segment set and embed carrier frequency band indexes;

[0066] In this step, the environmental feature set is divided into a multi-dimensional feature segment set according to the timeliness factor (i.e., the freshness of the data) and physical space correlation degree. Each feature segment is assigned a discrete identifier and embedded with a carrier frequency band index to facilitate the identification and processing of different types of data streams and improve data processing efficiency. This method enables the system to more effectively manage and analyze data from different sensors.

[0067] In the application embodiment, continuing with the previous case, the system begins to classify the data collected from each sensor node according to its timeliness and location. For example, alarm information related to emergencies is set with a high-priority identifier to ensure that such information can be processed quickly. At the same time, by classifying and encoding the data, the system can manage the information flow more efficiently, thereby improving the overall service quality and response speed.

[0068] 103. Analyze the channel interference estimation information in real time according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and combine the iterative optimization mechanism of the pulse duty cycle to dynamically adjust the combination of ultraviolet light modulation wavelength and scattering angle to generate a multi-band transmission configuration result;

[0069] In this step, based on the interference intensity probability matrix of the ultraviolet channel reflection skeleton, the system can evaluate the interference situation of the channel in real time. Combining the iterative optimization mechanism of the pulse duty cycle, dynamically adjust the combination of ultraviolet light modulation wavelength and scattering angle to generate a multi-band transmission configuration result suitable for the current environmental conditions, ensuring the communication quality. This method can effectively reduce the influence of external factors on data transmission and improve the stability and reliability of communication.

[0070] In the application embodiment, in the embodiment of step 102, the data collected by each sensor node is classified. When strong electromagnetic interference is detected in a certain area, the system will automatically adjust the transmission parameters of the sensor nodes in that area. For example, by changing the wavelength and scattering angle of the ultraviolet light to reduce the influence of interference on data transmission. This step ensures high-quality data transmission even in a complex environment, further enhancing the reliability and stability of the system.

[0071] 104. According to the multi-band transmission configuration result, establish multiple reflection links between adjacent environmental sensor nodes, map the discrete identifier to the reflection path, calibrate the multi-path transmission delay through the phase compensation factor, and generate an ultraviolet light pulse sequence carrying path feature coding;

[0072] In this step, according to the multi-band transmission configuration result, establish multiple reflection links between adjacent sensor nodes. Map the discrete identifier to the reflection path, and use the phase compensation factor to calibrate the multi-path transmission delay to generate an ultraviolet light pulse sequence carrying path feature coding, ensuring the accuracy and reliability of data transmission. This method not only improves the success rate of data transmission but also increases the robustness of the network.

[0073] In the application embodiment, in the above case, to enhance the robustness of the network, the system establishes multiple reflection paths to connect each sensor node. When the main path is blocked, the backup path immediately takes over the communication task, ensuring the continuity and integrity of the data. In addition, the phase compensation technology reduces the transmission delay caused by the multi-path effect, further improving the accuracy and efficiency of data transmission.

[0074] 105. Analyze the timestamp of the ultraviolet light pulse sequence, perform path inversion in combination with the phase compensation factor, extract the discrete identifier and generate a path code. When the difference degree between adjacent units exceeds the critical condition, trigger an alarm signal and feedback it to the ultraviolet channel reflection skeleton to update the link weight.

[0075] In this step, the timestamps of the ultraviolet light pulse sequence are parsed, path inversion is performed in combination with the phase compensation factor, discrete identifiers are extracted, and path encoding is generated. Once the difference degree between adjacent units exceeds the preset threshold, an alarm signal is triggered and feedback is sent to the ultraviolet channel reflection framework to update the link weights, ensuring the adaptive ability and anti-interference ability of the system. This method can not only improve the self-repair ability of the system, but also enhance the security of the entire network.

[0076] In the application embodiment, in the last stage, the system continuously monitors the states of all links. Once it is found that the data of a certain node is significantly different from that of other nodes, the system will immediately issue a warning and recalculate the optimal path to ensure that information transmission is not affected. This not only ensures the reliable transmission of data, but also improves the self-protection ability of the system and ensures the safe operation of the entire network.

[0077] In summary, through the above steps 101 to 105, from data acquisition, classification coding, interference suppression, path planning to the final error detection and link optimization, the transmission efficiency and accuracy of sensor data in the old community environment are effectively improved. This method solves the problem that traditional wireless communication is vulnerable to interference in complex environments, and greatly improves the reliability and security of data transmission through an intelligent adaptive mechanism and multiple redundancy designs. In addition, by dynamically adjusting and optimizing transmission parameters, the special requirements under different application scenarios are further met, demonstrating broad application prospects and technical potential. The entire process not only improves the response speed and service quality of the system, but also enhances the robustness and self-repair ability of the system.

[0078] Optionally, in step 103, the channel interference estimation information is parsed in real time according to the interference intensity probability matrix of the ultraviolet channel reflection framework, and in combination with the iterative optimization mechanism of the pulse duty cycle, the combination of the ultraviolet light modulation wavelength and the scattering angle is dynamically adjusted to generate a multi-band transmission configuration result, including:

[0079] Based on the obstacle coordinate distribution and dynamically corrected reflectivity of the ultraviolet channel reflection skeleton, establish a probability distribution model of interference intensity through the spatial correlation of historical interference events to generate a multi-channel interference pattern set; construct an interference intensity probability matrix with spatio-temporal attenuation coefficients according to the time-accumulated interference amounts of each sub-region in the multi-channel interference pattern set, and screen out the dominant interference sources based on the pulse response synchrony of adjacent sensor nodes; combine the convergence limit conditions of the azimuth angle and pulse duty cycle of the dominant interference source to establish a mapping relationship table between the pulse duty cycle adjustment gradient and the wavelength-angle combination, and perform successive approximation iterations on the pulse duty cycle of the ultraviolet light through a feedback interference suppression algorithm, and synchronously update the priority weights of the mapping relationship table; dynamically screen the ultraviolet light modulation wavelength and scattering angle combination according to the priority weights, eliminate the combination options that conflict with the obstacle coordinates in the current channel reflection skeleton, and generate a multi-band transmission configuration result carrying a wavelength switching sequence and an angle offset compensation value.

[0080] Optionally, combining the convergence limit conditions of the azimuth angle and pulse duty cycle of the dominant interference source to establish a mapping relationship table between the pulse duty cycle adjustment gradient and the wavelength-angle combination, and performing successive approximation iterations on the pulse duty cycle of the ultraviolet light through a feedback interference suppression algorithm, and synchronously updating the priority weights of the mapping relationship table, includes:

[0081] Based on the azimuth angle discretization interval division result of the dominant interference source, construct an azimuth angle-duty cycle gradient correlation matrix in combination with the convergence limit condition range of the pulse duty cycle, and generate a mapping relationship table of the initial wavelength-angle combination through the coupled analysis of the interference source azimuth angle and wavelength sensitivity coefficient; extract the time-domain interference suppression window according to the pulse response synchrony characteristics of the dominant interference source, establish a duty cycle adjustment step size constraint condition based on the attenuation gradient of the interference intensity probability matrix within the window, and generate a dynamic adjustment information set; use the feedback interference suppression algorithm to perform successive approximation iterations on the duty cycle adjustment step size constraint condition, and update the weight distribution factor of the dynamic adjustment information set according to the deviation between the real-time interference suppression rate of the wavelength-angle combination and the target suppression limit condition during the iteration process; reorder the priority of the mapping relationship table based on the weight distribution factor, and generate the optimized mapping relationship table in combination with the elimination result of the dynamic adjustment information set to obtain the updated priority weights.

[0082] In this embodiment, based on the obstacle coordinate distribution and the dynamically corrected reflectivity of the ultraviolet channel reflection skeleton, a probability distribution model of the interference intensity is established by analyzing the spatial correlation of historical interference events, thereby generating a multi-channel interference pattern set. This process not only considers the impact of static physical obstacles on signal transmission but also combines the accumulated interference amount in the time dimension to construct an interference intensity probability matrix with spatio-temporal attenuation coefficients. This matrix is used to screen out the dominant interference sources and further analyze the relationship between their azimuth angles and pulse duty cycles to establish a mapping relationship table between the pulse duty cycle adjustment gradient and the wavelength-angle combination. The ultimate goal is to optimize the ultraviolet light modulation parameters and improve the data transmission quality.

[0083] In the embodiment of the present application, first, the interference pattern is determined based on the obstacle position and reflectivity information, and the time-accumulated interference amount of each sub-region is calculated to form an interference intensity probability matrix. Then, the main interference sources are screened out by using the pulse response synchronization of adjacent sensor nodes. Combining the limiting conditions of their azimuth angles and pulse duty cycles, an initial wavelength-angle combination mapping table is created. Then, the feedback interference suppression algorithm is used to iteratively optimize the pulse duty cycle, gradually approaching the optimal solution, and the priority weights in the mapping table are updated in real time. Finally, according to these weights, the combination of the wavelength and scattering angle most suitable for the current environmental conditions is selected to ensure that the data transmission path is not affected by obstacles, improving the communication efficiency and stability.

[0084] In a renovation project of an old residential community, the technical staff first used a distributed sensor network to collect environmental data and dynamically adjusted the reflectivity parameters through ultraviolet penetration tests. Subsequently, a probability distribution model of the interference intensity was established using historical data, and several main interference sources in the community were identified. For example, on one side close to the road, due to strong air pollution and electromagnetic interference caused by vehicle exhaust, the system automatically adjusted the transmission parameters of the sensor nodes in this area. By finely adjusting the wavelength and scattering angle of the ultraviolet light, the impact of interference on data transmission was reduced. In addition, the system continuously optimized the pulse duty cycle according to the real-time monitoring results to ensure high-efficiency and stable data transmission performance even in complex environments. These series of measures significantly improved the reliability and adaptability of the entire system, providing a more comfortable and safe living environment for residents.

[0085] Optionally, in step 105, the timestamps of the ultraviolet light pulse sequence are parsed, path inversion is performed in combination with the phase compensation factor, the discrete identifiers are extracted and path encoding is generated. When the difference degree between adjacent units exceeds the critical condition, an alarm signal is triggered and fed back to the ultraviolet channel reflection skeleton to update the link weight, including:

[0086] Decompose the timestamps of the ultraviolet light pulse sequence using multi-scale wavelet transform, construct a multipath signal recombination model by combining the reverse path tracing algorithm with the phase compensation factor, extract the hop count weight and azimuth angle correlation features of the discrete identifier through a convolutional neural network, and generate a path coding matrix; analyze the vector of the difference degree of adjacent units of the path coding matrix based on the dynamic sliding window mechanism, and when the modulus value of the vector exceeds the dynamic threshold jointly determined by the sliding mean of the aging factor and the physical space entropy value, trigger an alarm signal instruction and feedback it to the ultraviolet channel reflection skeleton; fuse the link stability weight and path loss gradient distribution in the path coding matrix, construct a path inversion confidence evaluation model, and correct the path loss gradient matrix of the ultraviolet channel reflection skeleton through an adaptive particle filtering algorithm; embed the hop count weight of the path coding matrix into the pulse position modulation gap of the ultraviolet light carrier using orthogonal frequency division multiplexing technology, combine cyclic redundancy check codes with path fingerprint features to generate anti-interference weights, and update the link weights through the physical space entropy value weighting mechanism.

[0087] Optionally, fusing the link stability weight and path loss gradient distribution in the path coding matrix, constructing a path inversion confidence evaluation model, and correcting the path loss gradient matrix of the ultraviolet channel reflection skeleton through an adaptive particle filtering algorithm includes:

[0088] Use a multi-dimensional feature space fusion engine to align the link stability weight and path loss gradient distribution in the path coding matrix in space, construct a path inversion confidence evaluation model containing a dynamic weight factor, and perform multi-dimensional feature space reconstruction on the path inversion confidence evaluation model through a probability distribution fitting engine; use a dynamic noise suppression model to fuse the reconstruction result of the path inversion confidence evaluation model and the hop count weight of the path coding matrix to construct a path loss gradient correction model, and eliminate the non-steady interference components in the path loss gradient matrix of the ultraviolet channel reflection skeleton through an abnormal fluctuation detection mechanism; introduce a non-linear superposition engine to couple the output features of the path inversion confidence evaluation model with the link stability weight, generate a path loss gradient matrix carrying feedback compensation coefficients and feedback it to the ultraviolet channel reflection skeleton; perform path fingerprint feature embedding processing on the path loss gradient matrix based on an anti-interference coding protocol, and correct the path loss gradient matrix of the ultraviolet channel reflection skeleton through an adaptive particle filtering algorithm.

[0089] In this embodiment, in order to improve the accuracy and reliability of data transmission, multi-scale wavelet transform is used to decompose the timestamps of the ultraviolet light pulse sequence, and a multipath signal recombination model is constructed by combining the reverse path tracing algorithm and the phase compensation factor. The hop weight and azimuth correlation features are analyzed by a convolutional neural network to generate a path coding matrix. Based on the dynamic sliding window mechanism, the difference degree of adjacent units of the path coding matrix is evaluated. When it exceeds the threshold determined by the sliding mean of the aging factor and the physical space entropy value, an alarm signal is triggered. In addition, the link stability weight and the path loss gradient distribution are fused, and the adaptive particle filter algorithm is used to correct the path loss gradient matrix to enhance the anti-interference ability of the system.

[0090] In the embodiment of the present application, first, multi-scale wavelet transform is used to process the timestamps of the ultraviolet light pulse sequence, and a multipath signal recombination model is generated through reverse path tracing and phase compensation factors. Then, a convolutional neural network is applied to extract the key features of the discrete identifiers to form a path coding matrix. Then, the dynamic sliding window mechanism is used to monitor the changes of the path coding matrix. Once an anomaly is detected, an alarm is triggered and fed back to the system. For further optimization, the link stability weight and the path loss gradient distribution are fused to construct a path inversion confidence evaluation model, and it is corrected by the adaptive particle filter algorithm. Finally, the hop weight of the path coding matrix is embedded by using the orthogonal frequency division multiplexing technology, and the link weight is updated in combination with the cyclic redundancy check code to ensure the stability of data transmission.

[0091] In order to further improve the efficiency of the renovation of old residential areas, in the actual cases of the renovation of old residential areas, based on the ultraviolet light pulse sequence generated in step 104, in step 105, technicians first use a distributed sensor network to collect environmental data and dynamically adjust the reflectivity parameters through ultraviolet penetration tests. Subsequently, multi-scale wavelet transform is adopted to analyze the timestamps of the ultraviolet light pulse sequence, and combined with the reverse path tracing algorithm and the phase compensation factor, multiple data transmission paths are successfully reconstructed. The data features extracted by the convolutional neural network are used to generate a path coding matrix to monitor the stability of these paths in real time. When a significant decline in the performance of a certain path is detected, the system automatically triggers an alarm and recalculates the optimal path according to the new data. In addition, the path loss gradient matrix is continuously optimized by the adaptive particle filter algorithm to ensure efficient data transmission even under changing network conditions. This series of measures significantly improves the reliability and anti-interference ability of the entire system, providing a more comfortable and safe living environment for residents.

[0092] Optionally, in step 104, according to the multi-band transmission configuration result, a multiple reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to the reflection path, and the multi-path transmission delay is calibrated by the phase compensation factor to generate an ultraviolet light pulse sequence carrying path feature coding, including:

[0093] According to the multi-band transmission configuration result, an improved dynamic pheromone ant colony path optimization algorithm is adopted to fuse the path loss gradient and the link stability evaluation model. In the reflection path topology graph, candidate reflection links that meet the path loss threshold, hop count constraint, and link stability threshold are screened to generate a set of multiple reflection links. The discrete identifier is converted into a binary sequence through a deep convolutional encoder with an attention mechanism. The orthogonal frequency division multiplexing technology is used to embed the binary sequence into the pulse position modulation gap of the ultraviolet light carrier, and a cyclic redundancy check code is introduced to enhance the anti-interference ability of the ultraviolet light carrier. Based on the ultraviolet light carrier, the phase compensation factor is dynamically analyzed using the set of multiple reflection links, and an adaptive time slot segmentation algorithm is used for windowed compensation. In the compensated time slot window, ultraviolet light pulses carrying path feature encoding are stacked according to the reflection level to generate an ultraviolet light pulse sequence.

[0094] In this embodiment, in the renovation project of old residential areas, to optimize the communication path between adjacent environmental sensor nodes, an improved dynamic pheromone ant colony path optimization algorithm combined with a path loss gradient and a link stability evaluation model is adopted. This method first screens out candidate reflection links that meet specific conditions, including the path loss threshold, hop count constraint, and link stability threshold, to form a set of multiple reflection links. Then, the discrete identifier is converted into a binary sequence through a deep convolutional encoder with an attention mechanism, and the orthogonal frequency division multiplexing technology is used to embed it into the pulse position modulation gap of the ultraviolet light carrier. At the same time, a cyclic redundancy check code is introduced to enhance the anti-interference ability of data transmission. Finally, phase compensation is performed based on the adaptive time slot segmentation algorithm to ensure that the multi-path transmission delay is effectively calibrated.

[0095] In the embodiment of the present application, first, according to the multi-band transmission configuration result, an improved dynamic pheromone ant colony path optimization algorithm is used to select the optimal reflection links, and these links need to meet the path loss and link stability requirements. Then, the discrete identifier of each node is converted into a binary format suitable for transmission through a deep convolutional encoder, and the orthogonal frequency division multiplexing technology is used to embed it into the ultraviolet light carrier. At the same time, a cyclic redundancy check code is added to improve the transmission reliability. Next, according to the selected set of multiple reflection links, the phase compensation factor is calculated and the adaptive time slot segmentation algorithm is applied to adjust the transmission window to ensure that the ultraviolet light pulse sequences on each level of the reflection path can be accurately stacked to generate the final ultraviolet light pulse sequence, thereby achieving efficient data transmission.

[0096] To further improve the efficiency of the renovation of old residential areas, based on the probability distribution model of interference intensity established by technicians using historical data in step 103, in step 104, the technicians first deployed a distributed sensor network to collect environmental data and dynamically adjusted the reflectivity parameters through ultraviolet penetration tests. Subsequently, in step 104, the improved dynamic pheromone ant colony path optimization algorithm was applied to select the best combination of reflection links, ensuring the stability and efficiency of the data transmission path. For each sensor node, its discrete identifier was converted into a binary sequence and embedded into the ultraviolet light carrier through orthogonal frequency division multiplexing technology. In addition, the system also added a cyclic redundancy check code to enhance the robustness of data transmission. Finally, based on the calculated phase compensation factor and the adaptive time slot splitting algorithm, precise time synchronization and superposition processing were performed on ultraviolet light pulses at different reflection levels, ensuring high-quality data transmission even in complex environments. This method significantly improved the reliability of the system and the accuracy of data transmission, providing a better living environment for residents.

[0097] Optionally, in step 102, dividing the environmental feature set into a multi-dimensional feature segment set according to the timeliness factor and the physical space correlation degree, and assigning discrete identifiers to the multi-dimensional feature segment set and embedding the carrier frequency band index, includes:

[0098] Using a dynamic spatio-temporal grid division engine to perform spatio-temporal correlation analysis on the environmental feature set, combining the timeliness factor decay model and the topological structure of the physical space correlation degree to generate a spatio-temporal correlation matrix containing spatio-temporal decay weights; performing feature segment division on the spatio-temporal correlation matrix based on a multi-level clustering strategy, and generating the multi-dimensional feature segment set with spatio-temporal constraints through the dynamic fusion of the spatio-temporal decay weights and the threshold of the physical space correlation degree; constructing a dynamic hash tree structure to assign discrete identifiers to the multi-dimensional feature segment set, using a frequency band feature matching module to perform feature coding coupling on the discrete identifiers and the output of the ultraviolet carrier frequency band generator, and introducing a frequency band dynamic allocation technology to embed the feature coding vector into the frequency band index sequence of the ultraviolet light carrier.

[0099] In this embodiment, in the renovation project of old residential communities, a dynamic spatio-temporal grid division engine is used to analyze the environmental feature set. Combining the time factor attenuation model and the topological structure of physical space correlation, a spatio-temporal correlation matrix containing spatio-temporal attenuation weights is generated. This matrix not only considers the time freshness of the data but also the relevance of its geographical location. Based on this, the spatio-temporal correlation matrix is divided into a set of multi-dimensional feature segments with spatio-temporal constraints through a multi-level clustering strategy. Subsequently, a dynamic hash tree structure is used to assign discrete identifiers to these feature segments, and they are coupled with the output of the ultraviolet carrier frequency band generator through a frequency band feature matching module. Finally, the encoded feature vectors are embedded into the frequency band index sequence of the ultraviolet light carrier using frequency band dynamic allocation technology to achieve efficient data management and transmission.

[0100] In the embodiment of the present application, first, a dynamic spatio-temporal grid division engine is used to perform spatio-temporal correlation analysis on the collected environmental feature data to generate a spatio-temporal correlation matrix. Then, according to the time factor attenuation model and the threshold of physical space correlation, these data are divided into multiple sets of feature segments through a multi-level clustering strategy. Each set contains environmental data within a specific time and space range. Next, a dynamic hash tree structure is constructed to assign unique discrete identifiers to these feature segments, and a frequency band feature matching module is used to couple these identifiers with the ultraviolet carrier frequency band to form a feature encoding vector. Finally, these encoding vectors are embedded into the frequency band index sequence of the ultraviolet light carrier through frequency band dynamic allocation technology to ensure that data can be accurately and quickly transmitted between different sensor nodes.

[0101] In an actual case of renovating an old residential community, technicians first installed a series of distributed sensors to monitor environmental parameters such as temperature and humidity. To effectively manage this data, a dynamic spatio-temporal grid division engine was used to perform spatio-temporal correlation analysis on the environmental feature set, generating a spatio-temporal correlation matrix. Based on this matrix, the data was divided into multiple sets of feature segments through a multi-level clustering strategy, and each set of data has its specific time and space attributes. Then, discrete identifiers were assigned to each feature segment, and these identifiers were coupled with the ultraviolet carrier frequency band through a frequency band feature matching module. For example, when monitoring air quality changes, the system can quickly identify and process data from different regions, ensuring the timeliness and accuracy of information. In addition, through frequency band dynamic allocation technology, it is ensured that stable data transmission performance can be maintained even when the network load is high, greatly improving the overall efficiency and service quality of the system. These series of measures make the environmental monitoring of old residential communities more intelligent and efficient, providing a better living experience for residents.

[0102] Figure 2 The structural schematic diagram of an old residential community environmental sensor data processing system based on ultraviolet light communication is provided for the embodiment of the present application, asFigure 2 As shown, the device includes:

[0103] A collection module 21 that collects an environmental feature set through a distributed environmental sensor array on the outer facade of old community buildings, constructs an ultraviolet channel reflection skeleton based on reflectivity and obstacle coordinates, and dynamically corrects the reflectivity through ultraviolet band penetration tests;

[0104] An allocation module 22 that divides the environmental feature set into a multi-dimensional feature segment set according to the time effect factor and physical space correlation degree, and assigns discrete identifiers to the multi-dimensional feature segment set and embeds carrier frequency band indexes;

[0105] An analysis module 23 that real-time analyzes channel interference estimation information according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and combines the iterative optimization mechanism of the pulse duty cycle to dynamically adjust the combination of ultraviolet light modulation wavelength and scattering angle to generate a multi-band transmission configuration result;

[0106] A mapping module 24 that, according to the multi-band transmission configuration result, establishes multiple reflection links between adjacent environmental sensor nodes, maps the discrete identifiers to the reflection paths, calibrates the multi-path transmission delay through the phase compensation factor, and generates an ultraviolet light pulse sequence carrying path feature encoding;

[0107] An update module 25 that analyzes the time stamp of the ultraviolet light pulse sequence, performs path inversion in combination with the phase compensation factor, extracts the discrete identifier and generates a path code, and when the difference degree between adjacent units exceeds the critical condition, triggers an alarm signal and feeds it back to the ultraviolet channel reflection skeleton to update the link weight.

[0108] Figure 2 The described data processing system for environmental sensors in old communities based on ultraviolet communication can execute Figure 1 The described data processing method for environmental sensors in old communities based on ultraviolet communication in the shown embodiment, and its implementation principle and technical effects will not be elaborated. For the data processing system for environmental sensors in old communities based on ultraviolet communication in the above embodiment, the specific ways in which each module and unit perform operations have been described in detail in the embodiment related to the method, and will not be elaborated here.

[0109] In a possible design, Figure 2 The data processing system for environmental sensors in old communities based on ultraviolet communication in the shown embodiment can be implemented as a computing device, such as Figure 3 As shown, the computing device can include a storage component 31 and a processing component 32;

[0110] The storage component 31 stores one or more computer instructions, and the one or more computer instructions are called and executed by the processing component 32.

[0111] The processing component 32 is used for the above Figure 1 A method for processing old community environment sensor data based on ultraviolet communication in the above embodiment.

[0112] Among them, the processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components for executing the above method.

[0113] The storage component 31 is configured to store various types of data to support the operation of the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0114] Of course, the computing device may also necessarily include other components, such as input / output interfaces, display components, communication components, etc.

[0115] The input / output interface provides an interface between the processing component and the peripheral interface module, and the peripheral interface module may be an output device, an input device, etc.

[0116] The communication component is configured to facilitate communication between the computing device and other devices in a wired or wireless manner, etc.

[0117] Among them, the computing device may be a physical device or an elastic computing host provided by a cloud computing platform, etc. At this time, the computing device may refer to a cloud server, and the above processing component, storage component, etc. may be basic server resources rented or purchased from a cloud computing platform.

[0118] The embodiment of the present application also provides a computer storage medium storing a computer program, and when the computer program is executed by a computer, it can implement the above Figure 1 A method for processing old community environment sensor data based on ultraviolet communication in the shown embodiment.

[0119] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0120] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0121] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0122] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and are not intended to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments or equivalently replace some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of each embodiment of the present application.

Claims

1. A method for processing environmental sensor data in old residential areas based on ultraviolet light communication, characterized in that: include: The distributed environmental sensor array on the facades of old residential buildings collects a set of environmental features, and constructs a UV channel reflection skeleton based on reflectivity and obstacle coordinates. The reflectivity is dynamically corrected through UV band penetration testing; Divide the environmental feature set into a multidimensional feature segment set according to the timeliness factor and the physical space association degree, and assign a discrete identifier to the multidimensional feature segment set and embed a carrier frequency band index; According to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, the channel interference estimation information is analyzed in real time, and in combination with the iterative optimization mechanism of the pulse duty cycle, the combination of ultraviolet light modulation wavelength and scattering angle is dynamically adjusted to generate a multi-band transmission configuration result; According to the multi-band transmission configuration result, a multi-reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to a reflection path, the multipath transmission delay is calibrated by a phase compensation factor, and an ultraviolet light pulse sequence carrying a path feature code is generated; The timestamp of the ultraviolet light pulse sequence is parsed, path inversion is performed in combination with the phase compensation factor, the discrete identifier is extracted and path coding is generated, and when the difference between adjacent units exceeds a critical condition, an alarm signal is triggered and fed back to the ultraviolet channel reflection skeleton to update the link weight.

2. The method according to claim 1, characterized in that According to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, the channel interference estimation information is analyzed in real time, and combined with the iterative optimization mechanism of the pulse duty cycle, the ultraviolet light modulation wavelength and scattering angle combination are dynamically adjusted to generate a multi-band transmission configuration result, including: Based on the obstacle coordinate distribution and dynamically corrected reflectivity of the ultraviolet channel reflection skeleton, a probability distribution model of interference intensity is established through the spatial correlation of historical interference events to generate a multi-channel interference pattern set; According to the time-accumulated interference amount of each sub-area in the multi-channel interference pattern set, an interference intensity probability matrix with time-space attenuation coefficients is constructed, and a dominant interference source is screened based on the pulse response synchronization of adjacent sensor nodes; In combination with the azimuth angle of the dominant interference source and the convergence constraint conditions of the pulse duty cycle, a mapping relationship table of the pulse duty cycle adjustment gradient and the wavelength-angle combination is established, and the pulse duty cycle of the ultraviolet light is iterated successively by a feedback interference suppression algorithm, and the priority weight of the mapping relationship table is synchronously updated; The ultraviolet light modulation wavelength and scattering angle combinations are dynamically screened according to the priority weights, and the combination options that conflict with the obstacle coordinates in the current channel reflection skeleton are eliminated to generate a multi-band transmission configuration result carrying a wavelength switching sequence and an angle offset compensation value.

3. The method according to claim 2, characterized in that Combined with the convergence restriction condition of the azimuth angle of the dominant interference source and the pulse duty cycle, a mapping relationship table of the pulse duty cycle adjustment gradient and the wavelength-angle combination is established, and the pulse duty cycle of the ultraviolet light is iterated successively by a feedback interference suppression algorithm, and the priority weight of the mapping relationship table is synchronously updated, including: Based on the azimuth discretization interval division result of the dominant interference source, an azimuth-duty cycle gradient correlation matrix is ​​constructed in combination with the convergence restriction condition range of the pulse duty cycle, and a mapping relationship table of the initial wavelength-angle combination is generated through coupling analysis of the interference source azimuth and the wavelength sensitivity coefficient; Extracting a time domain interference suppression window according to the pulse response synchronization characteristics of the dominant interference source, establishing a duty cycle adjustment step constraint condition based on the attenuation gradient of the interference intensity probability matrix within the window, and generating a dynamic adjustment information set; The duty cycle adjustment step constraint condition is iterated by using a feedback interference suppression algorithm, and the weight allocation factor of the dynamic adjustment information set is updated according to the deviation between the real-time interference suppression rate of the wavelength-angle combination and the target suppression constraint condition during the iteration process; The mapping relationship table is prioritized and reordered based on the weight allocation factor, and an optimized mapping relationship table is generated in combination with the elimination result of the dynamic adjustment information set to obtain an updated priority weight.

4. The method according to claim 1, characterized in that: Parsing the timestamp of the ultraviolet light pulse sequence, performing path inversion in combination with the phase compensation factor, extracting the discrete identifier and generating a path code, and triggering an alarm signal and feeding it back to the ultraviolet channel reflection skeleton when the difference between adjacent units exceeds a critical condition to update the link weight, including: The timestamp of the ultraviolet light pulse sequence is decomposed by multi-scale wavelet transform, a multipath signal reconstruction model is constructed by combining the reverse path tracing algorithm and the phase compensation factor, and the hop weight and azimuth correlation characteristics of the discrete identifier are extracted by convolutional neural network to generate a path coding matrix; Analyzing the vector of the difference between adjacent units of the path coding matrix based on a dynamic sliding window mechanism, when the modulus of the vector exceeds a dynamic threshold jointly determined by a sliding mean of a time factor and an entropy value of a physical space, triggering an alarm signal instruction and feeding it back to the ultraviolet channel reflection skeleton; The link stability weight and path loss gradient distribution in the path coding matrix are integrated to construct a path inversion confidence assessment model, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm; Orthogonal frequency division multiplexing technology is used to embed the hop count weight of the path coding matrix into the pulse position modulation gap of the ultraviolet light carrier, and the anti-interference weight is generated by combining the cyclic redundancy check code and the path fingerprint feature, and the link weight is updated through the physical space entropy value weighting mechanism.

5. The method according to claim 4, characterized in that The link stability weight and path loss gradient distribution in the path coding matrix are integrated to construct a path inversion confidence assessment model, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm, including: Using a multi-dimensional feature space fusion engine to spatially align the link stability weights in the path coding matrix with the path loss gradient distribution, constructing a path inversion confidence assessment model including a dynamic weight factor, and reconstructing the path inversion confidence assessment model in a multi-dimensional feature space through a probability distribution fitting engine; A dynamic noise suppression model is used to fuse the reconstruction result of the path inversion confidence assessment model with the hop weight of the path coding matrix, a path loss gradient correction model is constructed, and the non-steady-state interference component in the path loss gradient matrix of the ultraviolet channel reflection skeleton is eliminated through an abnormal fluctuation detection mechanism; A nonlinear superposition engine is introduced to couple the output characteristics of the path inversion confidence assessment model with the link stability weight, generate a path loss gradient matrix carrying a feedback compensation coefficient and feed it back to the ultraviolet channel reflection skeleton; The path loss gradient matrix is ​​subjected to path fingerprint feature embedding processing based on an anti-interference coding protocol, and the path loss gradient matrix of the ultraviolet channel reflection skeleton is corrected by an adaptive particle filtering algorithm.

6. The method according to claim 1, characterized in that According to the multi-band transmission configuration result, a multi-reflection link is established between adjacent environmental sensor nodes, the discrete identifier is mapped to a reflection path, the multipath transmission delay is calibrated by a phase compensation factor, and an ultraviolet light pulse sequence carrying a path feature code is generated, including: According to the multi-band transmission configuration result, an improved dynamic pheromone ant colony path optimization algorithm is used to fuse the path loss gradient and the link stability evaluation model, and candidate reflection links that meet the path loss threshold, hop count constraint and link stability threshold are screened in the reflection path topology diagram to generate a set of multiple reflection links; The discrete identifier is converted into a binary sequence through a deep convolutional encoder of an attention mechanism, the binary sequence is embedded into the pulse position modulation interval of the ultraviolet light carrier by using orthogonal frequency division multiplexing technology, and a cyclic redundancy check code is introduced to enhance the anti-interference ability of the ultraviolet light carrier; Based on the ultraviolet light carrier, the phase compensation factor is dynamically analyzed using the multiple reflection link set, and an adaptive time slot segmentation algorithm is used for windowed compensation. Ultraviolet light pulses carrying path feature codes are superimposed according to the reflection level in the compensated time slot window to generate an ultraviolet light pulse sequence.

7. The method according to claim 1, characterized in that The environmental feature set is divided into a multidimensional feature segment set according to the timeliness factor and the physical space correlation, and a discrete identifier is assigned to the multidimensional feature segment set and embedded into a carrier frequency band index, including: A dynamic spatiotemporal grid partitioning engine is used to perform spatiotemporal correlation analysis on the environmental feature set, and a spatiotemporal correlation matrix including spatiotemporal attenuation weights is generated by combining the time factor attenuation model with the topological structure of the physical space correlation degree; The spatiotemporal association matrix is ​​divided into feature segments based on a multi-level clustering strategy, and the multi-dimensional feature segment set with spatiotemporal constraints is generated by dynamically fusing the spatiotemporal attenuation weight with the threshold of the physical space association degree; A dynamic hash tree structure is constructed to assign discrete identifiers to the multidimensional feature segment set, a frequency band feature matching module is used to couple the discrete identifiers with the output of the ultraviolet carrier frequency band generator for feature coding, and a frequency band dynamic allocation technology is introduced to embed the feature coding vector into the frequency band index sequence of the ultraviolet light carrier.

8. An old residential area environmental sensor data processing system based on ultraviolet light communication, characterized in that: include: The acquisition module collects environmental feature sets through a distributed environmental sensor array on the facades of old residential buildings, and constructs a UV channel reflection skeleton based on reflectivity and obstacle coordinates. The reflectivity is dynamically corrected through UV band penetration testing; An allocation module, which divides the environmental feature set into a multidimensional feature segment set according to the timeliness factor and the physical space correlation, and allocates a discrete identifier to the multidimensional feature segment set and embeds a carrier frequency band index; An analysis module analyzes the channel interference estimation information in real time according to the interference intensity probability matrix of the ultraviolet channel reflection skeleton, and dynamically adjusts the combination of ultraviolet light modulation wavelength and scattering angle in combination with the iterative optimization mechanism of pulse duty cycle to generate a multi-band transmission configuration result; A mapping module, which establishes a multi-reflection link between adjacent environmental sensor nodes according to the multi-band transmission configuration result, maps the discrete identifier to a reflection path, calibrates the multipath transmission delay through a phase compensation factor, and generates an ultraviolet light pulse sequence carrying a path feature code; The update module parses the timestamp of the ultraviolet light pulse sequence, performs path inversion in combination with the phase compensation factor, extracts the discrete identifier and generates path coding, and triggers an alarm signal and feeds back to the ultraviolet channel reflection skeleton when the difference between adjacent units exceeds a critical condition to update the link weight.

9. A computing device, characterized in that It comprises a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement an old community environmental sensor data processing method based on ultraviolet light communication as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a computer, an old community environmental sensor data processing method based on ultraviolet light communication as described in any one of claims 1 to 7 is implemented.

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